References
- Acero Triana, J. S., Ajami, H., & Razavi, S. (2025). The dilemma of objective function selection for sensitivity and uncertainty analyses of semi-distributed hydrologic models across spatial and temporal scales. 650, 132482.
- Anand, V., Singh, S. K., & Oinam, B. (2025). Parameterization and calibration of the SWAT hydrological model using SUFI-2 and GLUE algorithms in Bay of Plenty, New Zealand. Journal of Water and Climate Change, 16(8), 2444–2461. https://doi.org/10.2166/wcc.2025.699
- Anh, T. T. V., & Thao, V. T. P. (2021). Combination of remote sensing technology and hydrological model for estimating flood flow to reservoir: a case study in the basin of Ban Chat hydropower. Journal of Science on Natural Resources and Environment, 38.
- Botterill, T. E., & McMillan, H. K. (2023). Using Machine Learning to Identify Hydrologic Signatures With an Encoder– Decoder Framework. Water Resources Research, 59(3), e2022WR033091. https://doi.org/https://doi.org/10.1029/2022WR033091
- Bournas, A., & Baltas, E. (2021). Increasing the Efficiency of the Sacramento Model on Event Basis in a Mountainous River Basin. 8(2), 943–958.
- Burnash, R. J. (1973). A generalized streamflow simulation system: Conceptual modeling for digital computers. US Department of Commerce, National Weather Service, and State of California ….
- Dang, T. D., Vu, D. T., Chowdhury, A. F. M. K., & Galelli, S. (2020). A software package for the representation and optimization of water reservoir operations in the VIC hydrologic model. 126, 104673.
- Darbandsari, P., & Coulibaly, P. (2020). Inter-comparison of lumped hydrological models in data-scarce watersheds using different precipitation forcing data sets: Case study of Northern Ontario, Canada. 31, 100730.
- Elgendy, M. R., Hassini, S., & Coulibaly, P. (2025). Sensitivity analysis and calibration of a semi-distributed HBV model in the data-limited and regulated Nile River Basin. Journal of Hydrology: Regional Studies, 61, 102713. https://doi.org/https://doi.org/10.1016/j.ejrh.2025.102713
- Fan, M., Zhang, L., Liu, S., Yang, T., & lu, D. (2023). Investigation of hydrometeorological influences on reservoir releases using explainable machine learning methods. Frontiers in Water, 5. https://doi.org/10.3389/frwa.2023.1112970
- Feldman, A. D. (2016). Hydrologic modeling system HEC-HMS: technical reference manual.
- Geem, Z. W., Kim, J., & Loganathan, G. V. (2001). A New Heuristic Optimization Algorithm: Harmony Search. 76, 60–68.
- Government of Vietnam, P. M. (2019, June 17). Decision No. 740/QD-TTg promulgating the Inter-Reservoir Operation Procedure in the Red River Basin.
- Hargreaves, G., & Allen, R. (2003). History and Evaluation of Hargreaves Evapotranspiration Equation. 129.
- He, F., Zarfl, C., Tockner, K., Olden, J. D., Campos, Z., Muniz, F., Svenning, J.-C., & Jähnig, S. C. (2024). Hydropower impacts on riverine biodiversity. 5(11), 755–772.
- He, M., Whitin, B., Hartman, R., Henkel, A., Fickenschers, P., Staggs, S., Morin, A., Imgarten, M., Haynes, A., & Russo, M. (2016). Verification of Ensemble Water Supply Forecasts for Sierra Nevada Watersheds. Hydrology, 3(4), 35.
- Heldmyer, A., Livneh, B., McCreight, J., Read, L., Kasprzyk, J., & Minear, T. (2022). Evaluation of a new observationally based channel parameterization for the National Water Model. 26(23), 6121–6136.
- Hong Ngoc, T. T., & Khanh, P. (2021). Water Demand Estimation for Rice in An Giang Province by Hargreaves Evapotranspiration Model. 3034–3039.
- Hughes, D., Birkinshaw, S., & Parkin, G. (2021). A method to include reservoir operations in catchment hydrological models using SHETRAN. 138, 104980.
- Kratzert, F., Klotz, D., Shalev, G., Klambauer, G., Hochreiter, S., & Nearing, G. (2019). Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets. 23(12), 5089–5110.
- Kumar, R., Ohri, A., & Gaur, S. (2025). Sensitivity of permissible aquifer recharge rate to hydrogeological and well design parameters. 660, 133438.
- Lee, E., Yi, S., Ji, J., Hong, J., Lee, S., Yoon, J., & Yi, J. (2025). Development of a reservoir operation model determining the pre-release strategy for the flood events. 27(4), 700–722.
- Li, D., Chen, Y., Lyu, L., & Cai, X. (2024). Uncovering Historical Reservoir Operation Rules and Patterns: Insights From 452 Large Reservoirs in the Contiguous United States. Water Resources Research, 60(8), e2023WR036686. https://doi.org/https://doi.org/10.1029/2023WR036686
- Li, T., Guoqing, L., Xiaohui, S., & Ping, L. (2025). Optimizing storage-based reservoir operation schemes for enhanced large-scale hydrological modeling: A comprehensive sensitivity analysis. Journal of Hydrology, 657, 133173. https://doi.org/https://doi.org/10.1016/j.jhydrol.2025.133173
- Liu, P., Guo, S., Xiong, L., Li, W., & Zhang, H. (2006). Deriving Reservoir Refill Operating Rules by Using the Proposed DPNS Model. 20(3), 337–357.
- Liu, P., Nguyen, T.-D., Cai, X., & Jiang, X. (2012). Finding Multiple Optimal Solutions to Optimal Load Distribution Problem in Hydropower Plant. Energies, 5(5), 1413–1432.
- Liu, X., & Luo, J. (2019). A dynamic multi-objective optimization model with interactivity and uncertainty for real-time reservoir flood control operation. 74, 606–620.
- Ludwig, K. (2006). The water balance model LARSIM: design, content and applications. Inst. für Hydrologie der Univ.
- Luong, D. H. (2024). Studying on the resilience of flood prevention works and developing technology to evaluate extreme floods and adverse flood combinations in the Red River basin and proposing response solutions. The Vietnam Institute of Meteorology Hydrology and Climate change (IMHEN).
- Masdaf, N., Istijono, B., & Herdianto, R. (2025). Reservoir Capacity Analysis for Flood Mitigation in the Upper Kuranji
- Watershed. Civil and Environmental Engineering, 21(2), 1259–1273. https://doi.org/10.2478/cee-2025-0093
- Neitsch, S. L., Arnold, J., Kinry, J. R., & Williams, J. R. (2011). Soil and water assessment tool theoretical documentation. Version.
- Neluwala, P. (2023). DEVELOPING A RESERVOIR OPERATION STRATEGY INTEGRATING HEC-HMS & HEC-RESSIM FOR TABBOWA RESERVOIR OF THE MI OYA RIVER BASIN SRI LANKA.
- Omran, Z. A. (2025). Traditional and Numerical Approaches for Estimating Reservoir Routing Parameters. Civil and Environmental Engineering, 21(2), 1375–1383. https://doi.org/10.2478/cee-2025-0100
- Raskin, P., Purkey, D., Sieber, J., & Huber-Lee, A. (2007). WEAP: Water Evaluation And Planning System User Guide (for WEAP 21).
- Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., & Tarantola, S. (2010). Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. 181(2), 259–270.
- Uliana, E., Silva, D., Moreira, M., & Pereira, D. (2019). Global sensitivity analysis methods applied to hydrologic modeling with the SAC-SMA model. 39, 65–74.
- Vietnam Ministry of Industry and Trade. (2016, August 23). Decision No. 3471/QD-BCT promulgating the Operation Procedure of Ban Chat Hydropower Reservoir.
- Vietnam Ministry of Natural Resources and Environment. (2020). Scenario of climate change, sea level rise for Vietnam in 2020.
- Vora, A., Cai, X., Chen, Y., & Li, D. (2024). Coupling Reservoir Operation and Rainfall‐Runoff Processes for Streamflow Simulation in Watersheds. Water Resources Research, 60(6), n/a. https://doi.org/10.1029/2023WR035703
- Wang, B., Sun, H., Guo, S., Huang, J., Wang, Z., Bai, X., Gong, X., & Jin, X. (2023). Strategy for Deriving Sacramento Model Parameters Using Soil Properties to Improve Its Runoff Simulation Performances. Agronomy, 13(6), 1473.
- Wannasin, C., Brauer, C. C., Uijlenhoet, R., Torfs, P. J. J. F., & Weerts, A. H. (2024). Machine learning for real-time reservoir operation simulation: comparing input variables and algorithms for the Sirikit Reservoir, Thailand. 26(12), 3151–3171.
- Wijayarathne, D. B., & Coulibaly, P. (2020). Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada. 27, 100646.
- Yassin, F. a. R., S. and Elshamy, M. and Davison, B. and Sapriza-Azuri, G. and Wheater, H. (2019). Representation and improved parameterization of reservoir operation in hydrological and land-surface models. Hydrology and Earth System Sciences, 23, 3735––3764. https://doi.org/10.5194/hess-23-3735-2019
- Zambrano-Bigiarini, M., & Rojas, R. (2013). A model-independent Particle Swarm Optimisation software for model calibration. Environmental Modelling & Software, 43, 5–25. https://doi.org/https://doi.org/10.1016/j.envsoft.2013.01.004
- Zhang, C., Peng, Y., Chu, J., Shoemaker, C. A., & Zhang, A. (2012). Integrated hydrological modelling of small- and mediumsized water storages with application to the upper Fengman Reservoir Basin of China. 16(11), 4033–4047.